Fitness is a big part of my life, mainly strength training with the occasional run here and there. When I sought after a project where I could practice some data visualization, this felt like the perfect opportunity to learn and experiment. With Liftlytics, you can track every lift. Don’t see an exercise? Create it yourself. The app also lets users define new muscle groups for more precise categorization, giving complete control over tracking and progression.

This was my take on an Instagram-clone, where users can chat in real-time, create group chats, post pictures etc. I implemented the realtime chat feature using Supabase, Additionally, I explored UI libraries such as DND Kit for image rearrangement and Framer Motion for smooth animations, making the experience interactive and engaging.

In my spare time I love reading books, therefore I have read plenty of them! The drawback is just that I find myself spending a lot of time searching for new reads based on my favorite books/genres. How can I save time and also get more accurate recommendations? Bookfynder Track what you are currently reading, want to read or have already read. Then kick back and let Open AI generate personal recommendations for you to swipe left or right on, like Tinder. Using Next.js I could also include the popular UI library ShadCn, making this project probably the most professional and clean that I have built up to this point.